Enabling Data Intensive Science on Supercomputers for High Energy Physics R&amp;D Projects in HL-LHC Era

Alexei Klimentov,Danila Oleynik,Jack C Wells,Andrey Kiryanov,Kaushik De,Andrej Filipcic,Xin Zhao,Alessandro Di Girolamo,Johannes Elmsheuser,Douglas Benjamin,Andrey Zarochentsev

doi:10.1051/epjconf/202022601007

Abstract

The ATLAS experiment at CERN’s Large Hadron Collider uses theWorldwide LHC Computing Grid, the WLCG, for its distributed computing infrastructure. Through the workload management system PanDA and the distributed data management system Rucio, ATLAS provides seamless access to hundreds of WLCG grid and cloud based resources that are distributed worldwide, to thousands of physicists. PanDA annually processes more than an exabyte of data using an average of 350,000 distributed batch slots, to enable hundreds of new scientific results from ATLAS. However, the resources available to the experiment have been insufficient to meet ATLAS simulation needs over the past few years as the volume of data from the LHC has grown. The problem will be even more severe for the next LHC phases. High Luminosity LHC will be a multiexabyte challenge where the envisaged Storage and Compute needs are a factor 10 to 100 above the expected technology evolution. The High Energy Physics (HEP) community needs to evolve current computing and data organization models in order to introduce changes in the way it uses and manages the infrastructure, focused on optimizations to bring performance and efficiency not forgetting simplification of operations. In this paper we highlight recent R&D projects in HEP related to data lake prototype, federated data storage and data carousel.

Highlights

Scale of computing needs for particle physicsThe largest scientific instrument in the world – the Large Hadron Collider (LHC) [1] operates at the CERN Laboratory in Geneva, Switzerland
The experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe
To address an unprecedented multipetabyte data processing challenge, experiments are relying on the deployed computational infrastructure of the Worldwide LHC Computing Grid (WLCG) [2]

Summary

Introduction

The largest scientific instrument in the world – the Large Hadron Collider (LHC) [1] operates at the CERN Laboratory in Geneva, Switzerland. The experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe. To address an unprecedented multipetabyte data processing challenge, experiments are relying on the deployed computational infrastructure of the Worldwide LHC Computing Grid (WLCG) [2]. 80 2018 estimates: MC fast calo sim + standard reco MC fast calo sim + fast reco

60 Generators speed up x2

ATLAS High Performance Computing data processing and simulation

Data Lake project

Data Carousel project